ARGONNE

ARGONNE

Postdoctoral Appointee — AI-Assisted Scientific Visualization and Intelligent Data Exploration

Lemont, IL USA · Contract

Sponsorship not specified$73k-$121kDetected 12 hours ago
JavaScriptPythonC++Distributed SystemsMachine LearningData AnalysisData EngineeringLLMsAgentic AIAR/VRResearchLeadershipCommunication

About the role

  • The ALCF has an opening for a postdoctoral position in AI-assisted scientific visualization and intelligent data exploration.
  • This position sits at the intersection of scientific visualization, agentic AI systems, human-computer interaction (HCI), and high-performance computing (HPC).
  • The postdoc will work closely with visualization researchers, AI scientists, and domain application teams across Argonne and the broader DOE ecosystem.

Responsibilities

  • Inform the design of future visualization systems and AI services for leadership computing facilities
  • Experience developing or integrating interactive visualization systems, including web-based, immersive (XR), or experimental display environments
  • Ability to create, maintain, and support high-quality research software

Requirements

  • PhD completed within the last 0-5 years (or near completion) in Computer Science, Computational Science, Visualization, Human-Computer Interaction, or a related field
  • Experience programming in one or more languages such as Python, C/C++, or JavaScript
  • Experience working collaboratively in multidisciplinary research teams
  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork
  • Experience with in situ visualization, data streaming, or real-time analysis workflows
  • Experience with LLMs, conversational agents, or AI-assisted interfaces for scientific or data-driven applications
  • Familiarity with HPC environments, distributed systems, or large-scale data pipelines
  • Experience with game engines, XR systems, or advanced graphics frameworks applied to scientific data

Skills

  • Integrate LLM-based and agentic AI systems with scientific visualization frameworks, in situ pipelines, and data analysis workflows
  • Publish and present research results at leading venues in visualization, AI, and HPC (e.g., IEEE VIS, LDAV, eScience, ISC, SC)

Compensation

  • Please note that the pay range information is a general guideline only.

Benefits

  • Experience with AI or machine learning techniques, including large language models or agentic systems
Apply directly at ARGONNE →Create a free account for alerts like thisView ARGONNE immigration profile

This listing is sourced directly from ARGONNE's careers page and normalized into a canonical job model.